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Jobs · Education · New York

Agentic AI / Machine Learning Consultant

Vertical Relevance · Manhattan, NY · 2 wk ago
On-siteEducationFull-time

Key Responsibilities

  • Experience delivering end-to-end ML/AI solutions from problem framing through deployment and monitoring from a consultant perspective.
  • Design scalable AI/ML architectures using AWS, Azure, and GCP services.
  • Optimize RAG pipelines including chunking, embeddings, hybrid search, and re-ranking.
  • Develop retrieval evaluation frameworks (Recall@K, Precision@K, MRR, nDCG).
  • Design and implement knowledge graphs and ontologies.
  • Build data ingestion pipelines for structured and unstructured data.
  • Deploy solutions using AWS tools such as SageMaker, Bedrock, Lambda, and OpenSearch.
  • Implement self-hosted embedding models in secure environments.
  • Ensure compliance with PHI/PII data security requirements.
  • Collaborate with cross-functional teams and act as a technical advisor.
  • Mentor team members and contribute to technical thought leadership.

Requirements

  • 10+ Experience building and deploying ML/AI solutions in AWS, GCP, or Azure.
  • Strong expertise in RAG systems and retrieval optimization.
  • Experience with vector databases and hybrid search techniques.
  • Knowledge of knowledge graph design and entity resolution.
  • Expert in Python and R.
  • Experience with LLM platforms such as OpenAI, Anthropic, or Gemini.
  • Strong communication and client-facing skills working with Clients.
  • Linkedin Profile with Picture.
  • ID might be requested for technical interviews and tests.
  • Experience with Amazon Neptune or other graph databases a must.
  • Familiarity with information retrieval metrics.
  • Experience with self-hosted embeddings.
  • Healthcare domain knowledge (payer/claims).
  • Experience with agentic AI frameworks such as LangGraph or MCP.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Proven track record of successfully delivering complex AI/ML projects.
  • Experience with cloud-native technologies and DevOps practices.
  • Ability to work independently and manage multiple projects simultaneously.
  • Excellent problem-solving and analytical skills.
  • Strong interpersonal and communication skills.
  • Passion for innovation and a commitment to excellence.

Skills

  • Python and R programming.
  • AWS, Azure, and GCP services.
  • RAG systems and retrieval optimization.
  • Vector databases and hybrid search techniques.
  • Knowledge graph design and entity resolution.
  • LLM platforms such as OpenAI, Anthropic, or Gemini.
  • Information retrieval metrics.
  • Self-hosted embedding models.
  • Healthcare domain knowledge (payer/claims).
  • Agentic AI frameworks such as LangGraph or MCP.

Benefits

  • Competitive salary commensurate with experience.
  • Flexible work schedule.
  • Professional development opportunities.
  • Health insurance benefits.
  • Retirement savings plan.
  • Employee recognition program.

Pay

  • Salary range: $120,000 - $150,000 annually.

Schedule

  • Full-time position.

Company Overview

Vertical Relevance is a consulting firm dedicated to helping businesses achieve their goals through the design and delivery of effective transformation programs. We specialize in providing customized solutions across various industries, including Financial Services, Wealth Management, Asset Management, Insurance, and Banking. Our team of experts brings extensive industry experience and a deep understanding of customer needs to every project we undertake.

We are committed to fostering a culture of innovation, collaboration, and continuous improvement. By partnering with our clients, we aim to drive meaningful change and help them achieve sustainable success.

At Vertical Relevance, we believe that everyone deserves a fair chance to succeed. As an equal opportunity employer, we welcome applications from individuals of all backgrounds and experiences. We strive to create a diverse and inclusive workplace where everyone feels valued and empowered to reach their full potential.

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